DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

arXiv:2604.25209v2 Announce Type: replace-cross Abstract: Dimensionality reduction methods such as UMAP and t-SNE are central tools for visualising high-dimensional data, but their local-neighborhood objectives can preserve sampling noise while distorting global topology. We show that standard...